Google News is the sixth most visited news site, according to Alexa Web Traffic Rankings. Given its popularity, it deserves closer attention.
What is Google News? Google News is a news aggregation service that scours around ten thousand news sources, categorizes the articles and ranks them. What sets Google News apart is that it is not monetized. It doesn’t feature ads. Nor does it have deals with publishers. The other distinguishing part is that it is run by software engineers rather than journalists.
1. Copyright: Some argue that the service infringes of copyrights.
2. Lost Revenue: Some argue that the service causes news sources to lose revenue.
3. Popular is not the same as important or diverse: Google News highlights popular stories and sources. In doing so, it likely exacerbates the already large gap between popular news stories and viewpoints and the rest. The criticism doesn’t ring true. Google News merely mimics the information (news) and economic topography of the real world, which encompasses the economic underpinnings of the virtual world as in better-funded sites tend to be more popular or firms more successful in real world may have better-produced sites and hence may, in turn, attract more traffic. It does, however, bring into question whether Google can do better than merely mimic the topography of the world. There are, of course, multiple problems associated with any such venture, especially for Google, whose search algorithm is built around measuring popularity and authority of sites. The key problem is that news is not immune to being anything more than a popularity contest shepherded by rating (euphemism for financial interests) driven news media. A look at New York Times homepage, with extensive selection of lifestyle articles, gives one an idea of the depth of the problem. So if Google were to venture out and produce a list of stories that were sorted by relevance to say policy, not that any such thing can be done, there is a good chance that an average user will find the news articles irrelevant. Of course, a user-determined topical selection of stories would probably be very useful for users. While numerous social scientists have issued a caveat against adopting the latter approach arguing that it may lead to further atomization and decline in sociotropism, I believe that their appeals are disingenuous given that specialized interest in narrowly defined topics and interests in global news can flower together.
4. Transparency: Google News is not particularly transparent in the way it functions. Given the often abstruse and economically constrained processes that determine the content of newspapers, I don’t see why Google News process is any less transparent. I believe the objection primarily stems from people’s discomfort with automated processes determining the order and selection of news items. Automated processes don’t imply that they aren’t based on adaptive systems based on criteria commonly used by editors across newsrooms. More importantly, Google News works off the editorial decisions made by organizations across the board, for they include details like placement and section of the article within the news site as a pointer for the relative importance of the news article. At this point, we may also want to deal with the question of accountability, as pertaining to the veracity of news items. Given that Google News provides a variety of news sources, it automatically provides users with a way to check for inconsistencies within and between articles. In addition, Google News relies on the fact that in this day and age, some blogger will post an erratum to a “Google News source” site, of which there are over ten thousand, and that in turn may be featured within Google News.
Google News gives people the ability to mine through a gargantuan number of news sources and come up with a list of news stories on the same “topic” (or event) and the ability to search for a particular topic quickly. One can envision that both the user looking for a diversity of news sources or looking for quick information on a particular topic, could both be interested in other related information on the topic. More substantively, Google News may want to collate information from its web, video and image search, along with links to key organizations mentioned in the websites and put then right next to the link to the story. For example, BBC offers a related link to India’s country profile next to a story on India. Another way Google News can add value for its users is by leveraging the statistics it compiles of when and where news stories were published, stories published in the last 24 hrs or 48 hrs etc. I would love to see a feature called the “state of news” that shows statistical trends on news items getting coverage, patterns of coverage etc. (this endeavor would be similar to Google Trends)
Diversity of News Stories
What do we mean by diversity and what kind of diversity would users find most useful? Diversity can mean diverse locations—publishers or datelines, viewpoint—for or against an issue, depth—a quick summary or a large tome, medium—video, text, or audio, type of news—reporting versus analysis. Of course, Google can circumvent all of these concerns by setting up parallel mechanisms for all the measures it deems important. For example, a map/google news “mashup” can prove to be useful in highlighting where news is currently coming from. Going back to the topic of ensuring diversity – conceptual diversity is possibly the hardest to implement. There can be a multitude of angles for a story – not just for and against binary positions and facets can quickly become unruly, indefensible and unusable. For example if it splits news stories based on news sources (like liberal or conservative – people will argue over whether right categorizations were chosen or even about the labeling, for example, social conservatives and fiscal conservatives) or organizations cited (for example there is a good chance that an article using statistics from Heritage foundation leans in a conservative direction but that is hardly a rule). Still, I feel that these measures can prove to be helpful in at least mining for a diversity of articles on the same topic. One of the challenges of categorization is to come up with “natural” categories as in coming up with categorization that is “intuitive” for people. Given the conceptual diversity and the related abstruseness, Google may though want to preclude offering them as clickable categories to users thought it may want to use the categorization technique to display “diverse” stories. Similarly, more complex statistical measures can also prove to be useful in subcategorization, for example providing a statistical reference to the most common phrases or keywords or even Amazon like statistics on the relative hardness of reading. Google News may also just want to list the organizations cited in the news article and leave the decision of categorization to users.
Google News’ current “philanthropic” (people may argue otherwise viewing it as a publicity stunt) model is fundamentally flawed for it may restrict the money it needs to innovate and grow. Hence, it is important that it explores possible monetization opportunities. There are two possible ways to monetize Google News – developing a portal (like Yahoo!) and developing tools or services that it can charge for. While Google is already forging ahead with its portal model, it has yet to make appreciable progress in offering widely incorporable tools for its Google News service. There is a strong probability that news organizations would be interested in buying a product that displays “related news items” next to news articles. This is something that Technorati already for does for blogs but there is ample room for both, additional players, and for improving the quality of the content. It would be interesting to see a product that helps display Google News results along with Google image, blog, and video search results.